Creating a Therapeutic Psychosocial Environment in Dementia Care: A Preliminary Framework
Bibliographic record
Abstract
Research in dementia care during the past few years has focused on identifying and designing therapeutic physical environments while the psychosocial environment has remained a largely unexplored domain. More recently, discussions regarding the effect of the social environment on individuals with dementia have increased in the literature. Nevertheless, the authors suggest the term "social environment" does not adequately represent the critical psychological and emotional effect social interaction has on individuals with cognitive impairment. Through an examination of the literature, three conceptual frameworks, and clinical observations of several special care units (SCUs), the authors suggest that the psychosocial environment is the most important element of institutional dementia care. A preliminary conceptualization is offered which identifies the elements necessary to facilitate a supportive psychosocial environment in long-term care. The potential benefits of implementing such a model include preservation of personhood, simple recognition of remaining abilities and a decreased focus on disabilities, and reduction of pharmacologic therapy for disruptive behavior resulting in overall improvement in quality of life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".